Application Architect GCP

United States Digital Space LLC; Karnataka; On-site; INR 4,500,000 - 7,500,000; Full time

Benefits offered by this job

Competitive compensation

Job summary

United States Digital Space LLC in Bengaluru seeks a seasoned architect with 9+ years of experience to design scalable, secure cloud-native solutions on GCP. You will lead multi-agent AI pipelines, mentor engineers, and drive internal developer experience with strong CI/CD practices.

Must have strong Python and Terraform skills, plus proficiency in Go/Java/TypeScript and Docker/Kubernetes. Prior production AI workloads are preferred.

Qualifications

• Nine plus years of experience in IT architecture and delivery.
• Define scalable, secure, observable solutions on GCP.
• Proficient in Python, Terraform, Cloud SDKs and at least one of Go/Java/TypeScript.
• Deep knowledge of GCP services, Docker, Kubernetes and microservices.
• Lead architecture of agentic AI pipelines with multi-agent orchestration.
• Collaborate on CI/CD with quality gates and AI-assisted testing.
• Evaluate frameworks for agentic workloads in Google ecosystem.
• Experience in production-grade agentic AI systems.
• Define NFRs: latency, throughput, cost, safety guardrails, reliability.

Responsibilities

• Architect scalable and secure cloud-native solutions on GCP.
• Lead design reviews, ADRs, and mentor engineers.
• Drive platform-thinking for internal developer experience and self-service tooling.
• Collaborate with teams on CI/CD and AI-assisted test generation.
• Ensure governance around latency, cost, and reliability of AI pipelines.

Skills

Python

Terraform

GCP

Go

Java

TypeScript

Docker

Kubernetes

Cloud Functions

Pub/Sub

Agentic AI

AI/ML

Tools

CI/CD pipelines

Cloud SDKs

Job description

This role is for one of our clients

Industry: IT Services and IT Consulting

Seniority level: Mid-Senior level

Min Experience: 9+ years

Location: Bengaluru

JobType: full-time

Hands-on experience of building app on GCP cloud, Python, Terraform, AI-ML- Agentic AI Pipeline, Browser stack and Appium Testing automation.

Requirements

• 9+ years of experience
• A seasoned architect that can define scalable, secure, and observable solutions on GCP
• Proficient in Python, Terraform, Cloud SDKs and at least one of Go / Java / TypeScript.
• Proficient in GCP services (AI Platform, Cloud Functions, Pub/Sub), containerization (Docker, Kubernetes), microservices architecture.
• Lead the architecture of agentic AI pipelines — multi-agent orchestration, tool-use, memory & context management, human-in-the-loop workflows.
• Collaborate with engineering teams on CI/CD pipelines that embed quality gates and AI-assisted test generation.
• Evaluate and adopt frameworks for agentic workloads – preferably in Google ecosystem
• Experience in building production grade agentic AI systems
• Define NFRs: latency, throughput, cost, safety guardrails, and reliability for agentic systems.
• Drive platform-as-product thinking — internal developer experience, golden paths, and self-service tooling.
• Mentor engineers, conduct design reviews, and maintain architecture decision records (ADRs).
• Excellent communication and stakeholder management skills
• Conversant in Atlassian or related tool set
• Experience of working in geographically distributed teams

Preferred skills

• Valid GCP Professional Cloud Architect or equivalent certification preferred.

Must-have skills

Python Scripting, GCP